Top Artificial Intelligence Jobs

Leads the enterprise AI Engineering function, managing technical teams and delivering secure, scalable AI and Generative AI solutions. Responsibilities include setting AI roadmaps and engineering standards, implementing ML Ops and governance, developing RAG and agent architectures, deploying production AI applications, and partnering with business, data, manufacturing, supply chain, cybersecurity, and IT stakeholders. The role also drives responsible AI adoption, monitoring, reusable AI services, and measurable operational improvements.

Lead all Citizen product areas, including the consumer app, subscriptions, enterprise products, API, and partner integrations. Rebuild the product architecture, improve retention and revenue, own experimentation and forecasting, and operate AI agents to scale product management work. Collaborate daily with the founder, design, engineering, finance, sales, and operations while setting the product strategy and shipping roadmap.

Own end-to-end product marketing for Handshake AI's frontier lab business: create positioning, translate research to market content, enable sales with playbooks and assets, shape GTM strategy, and drive event and field marketing.

Build and deploy production AI/ML solutions for manufacturing, including predictive maintenance, defect detection, anomaly detection, process optimization, quality prediction, and engineering productivity. Own the full AI lifecycle from data preparation and experimentation through deployment, monitoring, and improvement. Collaborate with manufacturing, quality, equipment, automation, and software teams in an active manufacturing environment.

Develop scalable AI-powered Salesforce solutions using Agentforce, Data 360, Apex, Lightning Web Components, and JavaScript. Responsibilities include building agents, workflows, automations, data architectures, integrations, and customer solutions; collaborating with project teams; explaining technical concepts to stakeholders; maintaining Salesforce certifications; and supporting evolving AI technologies. The role includes up to 25% travel for customer projects and company events.

Leads and develops the AI Platform technical program management team while directly owning complex, cross-functional programs. Drives platform roadmaps, resolves technical and organizational dependencies, coordinates integration and deployment readiness, manages external partners, and improves execution through metrics, planning processes, and automation.

Design, develop, deploy, and maintain machine learning and AI solutions for clinical care and business operations. Coordinate the machine learning lifecycle, implement CI/CD and model-training practices, analyze large datasets, create visualizations and leadership reports, document models, and translate technical findings for business stakeholders. Lead cross-functional projects involving clinical leaders, data engineers, developers, and administrative teams.

Develops and evaluates artificial intelligence and machine learning algorithms for U.S. Government mission systems. Responsibilities include selecting and analyzing data, training and improving models, conducting testing and validation, overseeing system integration, researching AI/ML methods, converting prototypes into scalable solutions, and verifying data and model quality. The role requires collaboration, independent work, and support for critical software and systems under a government contract.

Build production AI agents and the runtime powering them across HR, payroll, benefits, IT, and employee operations. Responsibilities include agent workflows, tool-calling, durable execution, scheduling, observability, evaluations, guardrails, permissions, audit logs, internal automation, and user interfaces across web, mobile, and Slack. The role requires reliable backend and full-stack engineering, production LLM experience, and close collaboration with company leadership.

Develops and deploys AI solutions that automate business processes, improve decision-making, and support innovation. Responsibilities include building AI prototypes and applications, tuning models, analyzing data, integrating enterprise systems, developing generative AI and intelligent search solutions, improving data quality, and partnering with business and IT teams. The role also evaluates AI technologies, documents recommendations, and promotes responsible AI practices involving privacy, security, governance, and ethics.

Summer 2027 Cheminformatics Scientist Intern supporting chemical information analysis and development of an internal curation platform. Responsibilities include back-end and front-end development, documenting methodologies, collaborating with chemists, biologists, data scientists, and product owners, and contributing to Agile development services, systems, backlog grooming, and sprint planning. The role requires programming experience, analytical ability, strong communication, collaboration, accuracy, and interest in responsibly applying emerging AI technologies.

Leads the governance, operating model, portfolio management, and implementation of responsible AI initiatives across a health and care system. Manages intake, prioritization, risks, reporting, stakeholder alignment, vendor coordination, change adoption, and measurable outcomes. Partners with clinical, operational, technical, legal, compliance, and external stakeholders to scale AI solutions responsibly across healthcare workflows.

Leads North American FP&A strategy, budgeting, forecasting, long-range planning, performance analysis, and financial modeling across wholesale and direct-to-consumer channels. Partners with executives to identify risks, opportunities, profitability improvements, pricing and margin strategies, and resource allocation actions. Oversees financial planning processes, aligns regional and global finance activities, and manages and mentors finance professionals.

Develop predictive models, algorithms, quantitative analyses, and visualizations from structured and unstructured data. Collaborate with clients to understand business and mission needs, uncover insights, guide teammates, and translate complex datasets into actionable recommendations. The role uses programming, statistical analysis, machine learning, and distributed computing techniques across public and private-sector challenges.

Supports the global ethics and compliance program through Integrity Line administration, case intake and triage, investigations coordination, compliance reporting, policy governance, training administration, and remediation tracking. Administers compliance platforms, maintains dashboards and documentation, manages the compliance web page, and supports process improvements, technology enablement, workflow automation, and AI initiatives. Partners with Legal, HR, Internal Audit, Information Security, IT, Privacy, and business stakeholders across the organization.

Lead business development and capture strategy for Snowflake’s US Public Sector market. Identify and qualify large government opportunities, build multi-year pipelines, engage federal and state/local stakeholders, coordinate systems integrators and alliance partners, develop RFI/RFP responses, formulate cloud and AI solutions, and guide bid/no-bid decisions. The role requires extensive Federal/DoD capture experience, knowledge of procurement processes, a record of winning multimillion-dollar programs, and responsibility for pipeline and bookings performance.

Develop and deploy responsible AI solutions that identify, measure, and mitigate bias across Pinterest’s large-scale machine learning applications, including generative AI, search, and recommendation systems. Collaborate with trust and safety, user modeling, content understanding, and engineering teams to adopt fairness tooling and practices. Mentor engineers, contribute to technical strategy, and bridge advanced research with product impact.

Leads strategy, roadmap, development, and adoption of AI-powered enterprise workflow products across HR, Finance, Procurement, and related functions. Identifies scalable AI and automation opportunities, translates business needs into product capabilities, partners with engineering and platform teams, manages the full product lifecycle, and drives adoption, metrics, executive communications, and measurable business outcomes.

Lead enterprise AI transformation as a strategic advisor and architect: define AI strategy, design scalable Agentic AI and orchestration solutions, integrate LLMs and enterprise systems, guide customers from experimentation to production, ensure governance and responsible AI, drive KPI-based value realization and continuous optimization across large organizations.

Manage relationships with top and emerging creators, owning a portfolio and driving GMV, retention, and creator ROI. Match creators with brand campaigns, coach them on TikTok Shop best practices, analyze performance, and identify renewals, upsells, or exits. Collaborate with brand, campaign, and analytics teams while developing engagement initiatives, events, and community programs.

Own and scale Collective’s data platform by building reliable batch and event-driven pipelines into BigQuery, modeling data with dbt, and enforcing quality, observability, security, and cost standards. Partner with engineers, analysts, and business stakeholders to deliver trustworthy datasets, metrics, reporting, and AI-enabled warehouse access. The role includes production ownership, incident response, governance, infrastructure practices, and support for analytics and LLM-based tools.

Owns Retool’s AI monetization, enterprise expansion, and usage-control product strategy. Responsibilities include improving organizational adoption, defining AI pricing and packaging, building metering and billing systems, creating budgets and usage policies, analyzing unit economics, and partnering with engineering, design, finance, sales, and customer success. The role leads projects from customer discovery through launch, adoption measurement, and iteration, with success measured by expansion revenue, AI adoption, predictable customer spending, and sustainable economics.

Lead the product designers responsible for Mercury’s core experiences and define the company’s interaction philosophy for AI-native, conversational, adaptive, and proactive interfaces. Set a high bar for product quality, coach and develop designers, shape product strategy with Product and Engineering, and advance reusable interaction patterns with Design Systems. Stay hands-on through critique, prototyping, and collaboration while strengthening design craft and product thinking across the organization.

Supports the design, development, testing, deployment, and optimization of AI, machine learning, generative AI, data engineering, and analytics solutions. The role may focus on AI engineering or data engineering and analytics, including intelligent agents, RAG applications, APIs, data pipelines, exploratory analysis, and data preparation. Associates collaborate with technical teams and stakeholders while applying cloud technologies, security, governance, privacy, and responsible AI practices.

Leads BI, analytics, and AI initiatives that transform energy market and customer data into dashboards, automated insights, predictive analyses, and strategic recommendations. The role supports pricing, acquisition, retention, marketing, finance, and customer experience decisions through Python, SQL, Tableau, Power BI, generative BI, experimentation, and machine learning. Responsibilities include building executive reporting, evaluating AI-enhanced BI platforms, analyzing customer lifecycle performance, mentoring analysts, and partnering with cross-functional business and technical teams.